TY - GEN
T1 - ℓ2-induced norm of discrete-time switched linear systems
T2 - 51st IEEE Conference on Decision and Control, CDC 2012
AU - Shi, Dawei
AU - Chen, Tongwen
PY - 2012
Y1 - 2012
N2 - The ℓ2-induced norm evaluation problem in finite-horizon for switched linear systems is considered in this paper. The contribution of the work is two-fold. First, two complete solutions are provided for the finite-horizon problem. The first solution is obtained based on a time-varying system approach, while the second one tries to characterize the worst-case switching law for the general case, which is state dependent. Second, optimization problems are formulated to identify the set of possible worst-case switching laws, based on which efficient algorithms are derived to solve the finite-horizon ℓ2-induced norm problem for general switched linear systems. The results obtained are demonstrated by a numerical example.
AB - The ℓ2-induced norm evaluation problem in finite-horizon for switched linear systems is considered in this paper. The contribution of the work is two-fold. First, two complete solutions are provided for the finite-horizon problem. The first solution is obtained based on a time-varying system approach, while the second one tries to characterize the worst-case switching law for the general case, which is state dependent. Second, optimization problems are formulated to identify the set of possible worst-case switching laws, based on which efficient algorithms are derived to solve the finite-horizon ℓ2-induced norm problem for general switched linear systems. The results obtained are demonstrated by a numerical example.
UR - https://www.scopus.com/pages/publications/84874267266
U2 - 10.1109/CDC.2012.6427117
DO - 10.1109/CDC.2012.6427117
M3 - Conference contribution
AN - SCOPUS:84874267266
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 725
EP - 730
BT - 51st IEEE Conference on Decision and Control, CDC 2012
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 10 December 2012 through 13 December 2012
ER -